• DocumentCode
    1908502
  • Title

    Manual assembly line operator scheduling using hierarchical preference aggregation

  • Author

    Altuger, Gonca ; Chassapis, Constantin

  • Author_Institution
    Dept. of Mech. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    1613
  • Lastpage
    1623
  • Abstract
    Successful companies are the ones that can compete in the global market by embracing technological advancements, employing the lean principles, maximizing resource utilizations without sacrificing customer satisfaction. Lean principles are widely applied in semi or fully automated production processes. This research highlights the application of the lean principles to manual assembly processes, where the operator characteristics are considered as deterministic of operator schedule. In this study, a manual circuit breaker assembly line is examined, where operator skill levels, attention spans, classified as reliability measures considered to select the most suitable resource allocation and break schedules. The effect of operator attributes on the process is modeled and simulated using Arena, followed by a hierarchical preference aggregation technique as the decision making tool. This paper provides an operator schedule selection approach which can be both employed in manual and semi - automated production processes.
  • Keywords
    assembling; circuit breakers; decision making; reliability; scheduling; Arena; decision making tool; hierarchical preference aggregation; manual assembly line operator scheduling; manual circuit breaker assembly line; manual production processes; reliability measures; semi automated production processes; Assembly; Circuit breakers; Integrated circuit modeling; Job shop scheduling; Reliability; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5678907
  • Filename
    5678907